Deep learning techniques, particularly convolutional neural networks, have shown great potential in computer vision and medical imaging applications. However, deep learning models are computationally ...

An advanced Johns Hopkins AI model called MAARS combs through underused heart MRI scans and complete medical records to spot hidden scar patterns that signal sudden cardiac death, dramatically ...

In TODAY.com's Expert Tip of the Day, a cardiologist explains why neglecting your "second heart" can lead to health ...

A new AI algorithm is nearly twice as accurate as physicians at forecasting a sudden cardiac arrest in people with ...

Large language models (LLM) show promise in supporting clinical decision making, yet the influence of prompt design on ...

Traditional operative risk calculators, such as the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II), ...

"Supported by MAARS, clinicians can deliver personalized care to their patients and protect them appropriately from SCDA ...

Multimodal AI for ventricular Arrhythmia Risk Stratification (MAARS), predicts individual patients' risk for sudden cardiac ...

Scientists from QIMR Berghofer's Cardiac Bioengineering Lab have developed lab-grown, three-dimensional heart tissues known ...

A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the ...

In the medical field, integrating domain-specific knowledge into disease risk prediction has become increasingly important. Despite significant advancements in deep learning techniques for handling ...